Unit

UNIT 19.10 Galaxy: A Web-Based Genome Analysis Tool for Experimentalists

  1. Daniel Blankenberg1,5,
  2. Gregory Von Kuster1,5,
  3. Nathaniel Coraor1,5,
  4. Guruprasad Ananda1,5,
  5. Ross Lazarus2,5,
  6. Mary Mangan3,
  7. Anton Nekrutenko1,5,
  8. James Taylor4,5

Published Online: 1 JAN 2010

DOI: 10.1002/0471142727.mb1910s89

Current Protocols in Molecular Biology

Current Protocols in Molecular Biology

How to Cite

Blankenberg, D., Kuster, G. V., Coraor, N., Ananda, G., Lazarus, R., Mangan, M., Nekrutenko, A. and Taylor, J. 2010. Galaxy: A Web-Based Genome Analysis Tool for Experimentalists. Current Protocols in Molecular Biology. 89:19.10:19.10.1–19.10.21.

Author Information

  1. 1

    The Huck Institutes for the Life Sciences, Pennsylvania State University, University Park, Pennsylvania

  2. 2

    Channing Laboratory, Harvard Medical School, Boston, Massachusetts

  3. 3

    OpenHelix LLC, Bellevue, Washington

  4. 4

    Emory University, Atlanta, Georgia

  5. 5

    The Galaxy Team, Pennsylvania State University, University Park, Pennsylvania

Publication History

  1. Published Online: 1 JAN 2010
  2. Published Print: JAN 2010

Abstract

High-throughput data production has revolutionized molecular biology. However, massive increases in data generation capacity require analysis approaches that are more sophisticated, and often very computationally intensive. Thus, making sense of high-throughput data requires informatics support. Galaxy (http://galaxyproject.org) is a software system that provides this support through a framework that gives experimentalists simple interfaces to powerful tools, while automatically managing the computational details. Galaxy is distributed both as a publicly available Web service, which provides tools for the analysis of genomic, comparative genomic, and functional genomic data, or a downloadable package that can be deployed in individual laboratories. Either way, it allows experimentalists without informatics or programming expertise to perform complex large-scale analysis with just a Web browser. Curr. Protoc. Mol. Biol. 89:19.10.1-19.10.21. © 2010 by John Wiley & Sons, Inc.

Keywords:

  • Galaxy;
  • analysis;
  • bioinformatics;
  • workflow;
  • algorithm;
  • pipeline;
  • genomics;
  • SNPs